Profiteia provides energy professionals with a single platform that aggregates, cross‑checks, and validates real‑time market data from over 50 sources across the Dutch and broader European electricity markets. The service includes built‑in analytical tools such as a day‑ahead price forecaster, bid‑strategy backtester, RT2 rule‑state predictor, and electricity‑market simulator, plus customizable dashboards and an API for seamless integration.
Funding
Funding not disclosed
Founders
Product
Problem
Energy professionals need accurate, real‑time market data and analytical tools to make timely trading, balancing, and flexibility decisions, but data is fragmented across many sources, often delayed, and requires manual validation.
Solution
Profiteia aggregates and validates data from over 50 official sources—including TenneT, EPEX SPOT, ENTSO‑E, EEX, and ICE Endex—delivering a single platform with real‑time prices, capacity remuneration, order books, and balancing market information for the Dutch and broader European energy markets. The platform enriches this data with automated cross‑checks and multiple source verification to ensure reliability even during volatile periods. Built‑in analytical tools such as a day‑ahead price forecaster, bid‑strategy backtester, on‑balance benchmark, RT2 (rule‑state) predictor, and electricity‑market simulator enable users to model, forecast, and optimize operations without external software. Users can create custom dashboards, set threshold alerts, and export data via a comprehensive API for integration with proprietary models or BI systems.
Target Audience
Primary customers are energy traders, battery operators, aggregators, BRPs, portfolio managers, and data/analytics teams that require high‑frequency market data and decision‑support tools for the Dutch and European electricity, gas, and emissions markets.
Features
- Real‑time ingestion of market data (spot, intraday, forward curves, balancing, capacity prices) from 50+ sources with automatic multi‑source validation
- Historical data archive for backtesting and benchmark analyses
- Day‑ahead price forecaster using LSTM models with P10/P50/P90 confidence bands
- Bid‑strategy backtester that simulates historical aFRR/mFRR performance under user‑defined thresholds
- RT2 rule‑state predictor providing minute‑by‑minute probability of rule‑state 2
- Electricity‑market simulator for merit‑order analysis based on custom generation mixes
- Customizable dashboards, alerts, and news feed from 50+ energy news sources
- Programmable API delivering validated data streams in real time for integration with external tools